Data Operations Manager - Computer Use & Tool Use

@ Anthropic

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a rapidly growing group of researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About The Role

As the Data Operations Manager - Computer Use & Tool Use, you will build and scale data operations that advance Claude's computer use capabilities and tool use safety. You will partner with research teams to design and execute data strategies, manage vendor relationships, and oversee the entire data pipeline from requirements to production. This is a zero-to-one role focused on strategy and execution with a technical foundation.

About The Impact

The strategies you develop will determine how well Claude uses tools safely and operates autonomously. You will work with world-class researchers on frontier capabilities, safety, and model performance while building operational infrastructure.

Responsibilities

• Develop and execute data strategies for computer and tool use safety.
• Partner with research leaders to translate technical requirements into operations.
• Build data collection and evaluation systems for complex scenarios.
• Scale realistic evaluation environments for real-world challenges.
• Identify and manage specialized contractors and vendors.
• Implement quality control processes for training data.
• Manage multiple projects balancing research and evaluation standards.
• Track metrics and communicate progress to stakeholders.

You May Be a Good Fit If You

• Have 3+ years in technical operations or product management.
• Have strong technical foundations including Python and ML workflow knowledge.
• Communicate effectively with both technical and non-technical stakeholders.
• Understand LLMs, RLHF, tool use and agentic workflows.
• Manage multiple parallel workstreams and navigate ambiguity.
• Are passionate about AI safety and high-quality data.

Strong Candidates May Also Have

• Experience in AI model training, agent building, or creating training data.
• Knowledge of computer and tool use safety challenges.
• Experience with RLHF and human-in-the-loop training methods.
• Domain expertise in computer use automation, security, or safety evaluation.
• Familiarity with model performance monitoring and quality assessment systems.
• Track record of building and scaling operations teams.

Compensation & Logistics

The expected base compensation is $250,000 - $365,000 USD. This full-time role includes equity, benefits, and potential incentive compensation. A Bachelor's degree or equivalent experience is required. The position follows a location-based hybrid policy with an expectation of at least 25% office presence. Visa sponsorship is available, subject to review.

How We're Different

At Anthropic, we work on big science projects with a cohesive team focused on high-impact research. We emphasize advanced research in AI safety and model performance and value clear communication and collaboration.

Key skills/competency

• Data Strategies
• Operational Excellence
• Vendor Management
• Quality Control
• Scaling Operations
• Python
• ML Workflows
• RLHF
• AI Safety
• Project Management